干扰场景下AIRS辅助的MISO系统资源分配算法

Resource Allocation Algorithm for AIRS-assisted MISO System under Jamming

针对无线通信系统容易受到干扰而导致信息传输速率低的问题,提出了一种空中智能反射面(Aerial Intelligent Reflecting Surface,AIRS)辅助的多输入单输出(Multi-input Singleoutput,MISO)系统资源分配算法。首先,在考虑基站发射功率约束、AIRS相移约束和AIRS位置约束的条件下,建立了一个系统加权和速率最大化的资源分配问题。其次,利用拉格朗日对偶法转换原问题并将其分解为4个子问题,再应用分式规划、连续凸近似以及粒子群优化技术对子问题进行求解。最后,提出一种基于交替迭代的优化算法对原问题进行求解。仿真结果表明,所提方案与现有方案相比,能够实现更高的系统加权和速率,从而有效提升系统的抗干扰能力。

To address the problem that wireless communication systems are prone to low information transmission rate due to jamming,a resource allocation algorithm for AIRS(Aerial Intelligent Reflecting Surface)-assisted MISO(Multi-Input Single-Output)system is proposed.First,a resource allocation problem for maximizing the weighted sum rate of the system is established under the consideration of base station transmit power constraints,AIRS phase shift constraints,and AIRS position constraints.Then,the Lagrange duality is used to transform the original problem and the problem is decomposed into four subproblems,and the fractional programming,successive convex approximation,and particle swarm optimization techniques are applied to solve the subproblems.Finally,an optimization algorithm based on alternating iterations is proposed to solve the original problem.Simulation results indicate that the proposed scheme can achieve a higher weighted sum rate of the system compared with the existing schemes,thus effectively improving the anti-jamming ability of the system.